code: def init_weights(m):
      if isinstance(m, nn.Conv2d):
          torch.nn.init.xavier_uniform_(m.weight)
  
file_path: kornia/test/integration/test_focal.py
imports: import logging
  import pytest
  import torch
  import torch.nn.functional
  from torch import nn, optim
  import kornia
label_desc: Use image node_id 2 for calling the TestIntegrationFocalLoss obj's underlying member method code with example usage: obj.init_weights(m) without return types